hybrid
AI / LLM Engineer
AI / LLM Engineer
As an AI/LLM Engineer, you will design, develop, and deploy scalable AI solutions using modern large language model (LLM) frameworks. You will integrate AI capabilities into products and platforms, ensuring performance, reliability, and scalability, while collaborating with cross-functional teams to define requirements and deliver production-ready code.
About the role
About the Role
As an AI/LLM Engineer, you will be responsible for designing, developing, and deploying scalable AI solutions using modern large language model (LLM) frameworks. You’ll work closely with cross-functional teams to integrate AI capabilities into products and platforms while ensuring performance, reliability, and scalability.
What You’ll Do
- Design and develop AI/LLM-based applications and services
- Build and optimize pipelines using LLM frameworks and orchestration tools
- Implement and enhance Retrieval-Augmented Generation (RAG) systems
- Integrate AI features into existing platforms and workflows
- Collaborate with product, engineering, and business teams to define requirements
- Write clean, efficient, and production-ready code
- Ensure proper testing, evaluation, and monitoring of AI systems
Skills Required
- Hands-on experience with LLMs (OpenAI, open-source models, etc.)
- Experience with orchestration frameworks (LangChain, LangGraph, etc.)
- Strong understanding of NLP concepts and ML/DL fundamentals
- Experience with model fine-tuning and evaluation techniques
- Proficiency in Python and AI/ML frameworks (PyTorch / TensorFlow)
- Understanding of RAG architectures and vector databases
Good to Have
- Experience with Docker, Kubernetes, or containerized deployments
- Exposure to microservices architecture and system design principles
- Familiarity with CI/CD pipelines and monitoring tools
- Experience working in cloud environments (AWS, Azure, GCP)